A Benchmarking Study of Embedding-Based Entity Alignment for Knowledge Graphs Z Sun, Q Zhang, W Hu, C Wang, M Chen, F Akrami, C Li Proc. VLDB Endow. 13, 2326–2340, 2020 | 278 | 2020 |
Realistic re-evaluation of knowledge graph completion methods: An experimental study F Akrami, MS Saeef, Q Zhang, W Hu, C Li Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 137 | 2020 |
Re-evaluating embedding-based knowledge graph completion methods F Akrami, L Guo, W Hu, C Li Proceedings of the 27th ACM International Conference on Information and …, 2018 | 39 | 2018 |
An efficient compressed domain video indexing method F Akrami, F Zargari Multimedia tools and applications 72, 705-721, 2014 | 14 | 2014 |
Comprehensive analysis of freebase and dataset creation for robust evaluation of knowledge graph link prediction models N Shirvani-Mahdavi, F Akrami, MS Saeef, X Shi, C Li International Semantic Web Conference, 113-133, 2023 | 7 | 2023 |
A dashboard for mitigating the covid-19 misinfodemic Z Zhu, K Meng, J Caraballo, I Jaradat, X Shi, Z Zhang, F Akrami, H Liao, ... Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 6 | 2021 |
On the Efficacy of Knowledge Graph Completion Methods, Accuracy Measures and Evaluation Protocols F Akrami | | 2021 |
Creating Variants of Freebase for Robust Development of Intelligent Tasks on Knowledge Graphs F Akrami, MS Saeef, N Shirvani-Mahdavi, X Shi, C Li | | |